- 3Sum
You are given a large integer represented as an integer array digits, where each digits[i] is the ith digit of the integer. The digits are ordered from most significant to least significant in left-to-right order. The large integer does not contain any leading 0's.
Increment the large integer by one and return the resulting array of digits.
Example 1:
Input: digits = [1,2,3]
Output: [1,2,4]
Explanation: The array represents the integer 123.
Incrementing by one gives 123 + 1 = 124.
Thus, the result should be [1,2,4].
Example 2:
Input: digits = [4,3,2,1]
Output: [4,3,2,2]
Explanation: The array represents the integer 4321.
Incrementing by one gives 4321 + 1 = 4322.
Thus, the result should be [4,3,2,2].
Example 3:
Input: digits = [9]
Output: [1,0]
Explanation: The array represents the integer 9.
Incrementing by one gives 9 + 1 = 10.
Thus, the result should be [1,0].
Clarification:
1 <= digits.length <= 100
0 <= digits[i] <= 9
digits does not contain any leading 0's.
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思路
- 初始化 carray 變數
- 透過 for loop 從後往前
- 若 sum > 10 : keep going
- 反之: 加總完直接 return
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效率
- 時間複雜度:$O(n)$ 空間複雜度:$O(n)$
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code
class Solution { private int[] plusOne_first(int[] digits) { int carry = 1; int length = digits.length; for (int i = length - 1; i >= 0; i--) { int sum = digits[i] + carry; if (sum < 10) { digits[i] = sum; return digits; } else { digits[i] = sum % 10; carry = 1; } } if (carry == 1) { int[] newDigits = new int[length + 1]; newDigits[0] = 1; System.arraycopy(digits, 0, newDigits, 1, length); return newDigits; } return digits; } }
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思路
- 在計算 sum 跟餘數的過程直接先計算後再判斷
- 可讀性提升
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效率
- 時間複雜度:$O(n)$ 空間複雜度:$O(n)$
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code
class Solution { }
- bgautam1254
for (int i = digits.length - 1; i >= 0; i--) {
if (digits[i] < 9) {
digits[i]++;
return digits;
}
digits[i] = 0;
}
digits = new int[digits.length + 1];
digits[0] = 1;
return digits;